Indonesian Migrant Workers (PMI) abroad often face various social, legal, and cultural challenges that can increase their vulnerability in everyday life. One effort to minimize these vulnerabilities is through the establishment of regional community organizations as a platform for solidarity, advocacy, and cultural identity preservation. This community service activity aims to assist in the formation of the Ikatan Warga Ponorogo di Hong Kong (IWPH) — an association of PMI from Ponorogo working in Hong Kong. The methods employed include community needs assessment, facilitation of organizational meetings, formulation of organizational statutes and bylaws, and basic community-based advocacy training. The results of this activity showed high enthusiasm among PMI from Ponorogo to participate in this community as a forum for sharing information, social protection, and preserving regional cultural traditions abroad. Moreover, IWPH has begun to actively voice issues faced by PMI, such as overcharging, gender-based violence, and unclear employment contracts. The establishment of IWPH is expected to serve as a model for strengthening social networks and advocacy based on regional community groups, enhancing the bargaining power of Indonesian migrant workers abroad. This activity also reflects the contribution of higher education institutions in supporting the protection and empowerment of Indonesian migrant workers in various destination countries.

Hijaiyah letters are the alphabet used in Arabic and the Koran. Automatic recognition of hijaiyah letters has many benefits, especially in the fields of education and learning Arabic and the Koran. This research aims to classify hijaiyah letter recognition using image processing techniques and the Support Vector Machine (SVM) algorithm. We collected a dataset of images of 5 hijaiyah letters with a total of 400 images obtained from Google and also Iqro'.  The train:test ratio is 8:2. Experimental results show that the proposed approach can achieve high accuracy in recognizing hijaiyah letters with an accuracy rate of 99.16%.

This study aims to identify the independent variables that affect the level of labor force participation in the DKI Jakarta area. There are four independent variables studied, namely Gross Domestic Product (X1) or commonly known as GRDP, then Provincial Minimum Wage (X2), then there is Domestic Investment (X3), and the last variable is Foreign Investment (X4). Meanwhile, the dependent variable in this study is the Labor Force Participation Rate (Y). The current study applies a data panel that combines cross-sectional and time-series data. The data analysis technique applied in this study is multiple linear analysis using the Eviews10 program. After conducting the test, the researcher found that there was a significant correlation between the alpha GRDP and PMA variables, which was about 5% higher than the LFPR. On the other hand, the Provincial Minimum Wage and Domestic Investment are two factors that have little influence on the determinants of the level of labor force participation.